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GWAS Study

Genetic associations with ratios between protein levels detect new pQTLs and reveal protein-protein interactions.

Suhre K

38412862 PubMed ID
GWAS Study Type
43509 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SK
Suhre K
Chapter II

Abstract

Summary of the research findings

Protein quantitative trait loci (pQTLs) are an invaluable source of information for drug target development because they provide genetic evidence to support protein function, suggest relationships between cis- and trans-associated proteins, and link proteins to disease endpoints. Using Olink proteomics data for 1,463 proteins measured in over 54,000 samples of the UK Biobank, we identified 4,248 associations with 2,821 ratios between protein levels (rQTLs). rQTLs were 7.6-fold enriched in known protein-protein interactions, suggesting that their ratios reflect biological links between the implicated proteins. Conducting a GWAS on ratios increased the number of discovered genetic signals by 24.7%. The approach can identify novel loci of clinical relevance, support causal gene identification, and reveal complex networks of interacting proteins. Taken together, our study adds significant value to the genetic insights that can be derived from the UKB proteomics data and motivates the wider use of ratios in large-scale GWAS.

43,509 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

43509
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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